DOI: 10.1029/2017JD028169
Scopus记录号: 2-s2.0-85052200894
论文题名: Atmospheric Boundary Layer Classification With Doppler Lidar
作者: Manninen A.J. ; Marke T. ; Tuononen M. ; O'Connor E.J.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 15 起始页码: 8172
结束页码: 8189
语种: 英语
英文摘要: We present a method using Doppler lidar data for identifying the main sources of turbulent mixing within the atmospheric boundary layer. The method identifies the presence of turbulence and then assigns a turbulent source by combining several lidar quantities: attenuated backscatter coefficient, vertical velocity skewness, dissipation rate of turbulent kinetic energy, and vector wind shear. Both buoyancy-driven and shear-driven situations are identified, and the method operates in both clear-sky and cloud-topped conditions, with some reservations in precipitation. To capture the full seasonal cycle, the classification method was applied to more than 1 year of data from two sites, Hyytiälä, Finland, and Jülich, Germany. Analysis showed seasonal variation in the diurnal cycle at both sites; a clear diurnal cycle was observed in spring, summer, and autumn seasons, but due to their respective latitudes, a weaker cycle in winter at Jülich, and almost non-existent at Hyytiälä. Additionally, there are significant contributions from sources other than convective mixing, with cloud-driven mixing being observed even within the first 500 m above ground. Also evident is the considerable amount of nocturnal mixing within the lowest 500 m at both sites, especially during the winter. The presence of a low-level jet was often detected when sources of nocturnal mixing were diagnosed as wind shear. The classification scheme and the climatology extracted from the classification provide insight into the processes responsible for mixing within the atmospheric boundary layer, how variable in space and time these can be, and how they vary with location. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113272
Appears in Collections: 气候减缓与适应
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作者单位: Department of Physics, University of Helsinki, Helsinki, Finland; Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany; Finnish Meteorological Institute, Helsinki, Finland; Vaisala Oyj, Vantaa, Finland; Department of Meteorology, University of Reading, Reading, United Kingdom
Recommended Citation:
Manninen A.J.,Marke T.,Tuononen M.,et al. Atmospheric Boundary Layer Classification With Doppler Lidar[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(15)